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市場調查報告書
商品編碼
1871961
全球智慧流程自動化市場:預測至 2032 年-按組件、技術、部署方式、組織規模、應用、最終用戶和地區進行分析Intelligent Process Automation Market Forecasts to 2032 - Global Analysis By Component, Technology, Deployment Mode, Organization Size, Application, End User, and By Geography |
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根據 Stratistics MRC 的一項研究,預計到 2025 年,全球智慧過程自動化市場價值將達到 196 億美元,到 2032 年將達到 769 億美元。
預計在預測期內,智慧流程自動化 (IPA) 將以 21.5% 的複合年成長率成長。 IPA 結合了人工智慧、機器學習和機器人流程自動化,旨在簡化和提升營運效率。這使得系統能夠處理重複性任務、做出數據驅動的決策,並在最大限度減少人工干預的情況下持續改善績效。透過整合自然語言處理和電腦視覺等認知技術,IPA 可以提高效率、減少錯誤,並幫助企業實現更智慧的流程自動化,從而打造更快、更準確、更經濟高效的工作流程。
對營運效率和成本降低的需求日益成長
推動智慧流程自動化 (IPA) 普及的關鍵因素之一是企業不斷面臨的精簡營運和降低營運成本的壓力。各組織正在利用 IPA 實現複雜、基於規則的業務流程自動化,從而最大限度地減少人為干預,降低營運成本,並顯著減少人為錯誤。這項提高效率的措施不僅能改善企業獲利,還能釋放人力資本,使其專注於更高價值的策略活動,從而在瞬息萬變的商業環境中提升整體生產力和競爭優勢。
資料安全和隱私問題
阻礙IPA普及的一大障礙是對資料安全和隱私的擔憂。這些平台需要存取敏感的企業和客戶資料才能運行,這極易導致資料洩露,並可能違反GDPR等嚴格法規。對智慧財產權竊盜、金融詐騙和聲譽損害的擔憂,使得企業,尤其是那些身處高度監管行業的企業,格外謹慎。因此,確保IPA解決方案中強大的資料管治和安全通訊協定,是供應商贏得市場廣泛信任的關鍵挑戰。
開發產業專用的解決方案
通用平台往往無法應對銀行、醫療保健和製造業等行業特有的監管和工作流程挑戰。透過遵循行業標準並為特定流程提供預先配置解決方案,供應商可以開拓新的收入來源。這種專業化有助於更深入滲透市場,為客戶帶來更快的部署速度和更高、更切實的投資報酬率 (ROI),從而加速產品應用。
來自新參與企業的激烈競爭
市場正受到新進業者的威脅,其中包括敏捷的Start-Ups和專業軟體公司。這些企業通常以極具競爭力的價格推出創新且細分領域的解決方案,加劇市場競爭,給現有供應商帶來壓力。此外,市場飽和也可能導致價格戰,壓縮所有參與者的利潤空間。現有企業必須不斷創新並實現產品差異化,才能與這些顛覆性的、具成本效益的替代方案競爭,並維持市場佔有率。
新冠疫情大大加速了智慧流程自動化(IPA)市場的發展。封鎖和遠距辦公政策暴露了人工和紙本流程的脆弱性,迫使企業迫切尋求數位自動化解決方案以確保業務永續營運。這次危機也凸顯了IPA在維持業務韌性方面的價值,財務、人力資源和客戶服務等部門紛紛採用IPA來穩定工作流程,並應對分散式辦公環境下需求的突發波動。
在預測期內,解決方案/平台細分市場將佔據最大的市場佔有率。
預計在預測期內,解決方案/平台細分市場將佔據最大的市場佔有率,因為它是實現自動化的核心技術產品。這包括企業直接部署用於流程自動化的基本軟體、平台和工具。其市場佔有率之所以如此之大,是因為企業持續對底層自動化技術進行初始投資,以及對能夠管理複雜企業級工作流程的強大、可擴展且整合的平台的需求,這使其成為IPA生態系統不可或缺的核心組成部分。
人工智慧 (AI) 和機器學習 (ML) 領域在預測期內將實現最高的複合年成長率
預計在預測期內,人工智慧 (AI)/機器學習 (ML) 領域將實現最高成長率,因為這些技術代表著從簡單的基於規則的自動化向認知型、自我改進系統的演進。它們的整合對於處理非結構化資料、做出預測性決策以及管理傳統自動化無法處理的複雜異常情況至關重要。此外,隨著企業尋求更智慧、更具適應性的業務營運,對智慧流程自動化 (IPA) 解決方案中 AI/ML 功能的需求正在迅速成長,從而推動了該領域的顯著成長。
預計北美將在預測期內佔據最大的市場佔有率。這項優勢可歸功於先進技術的早期廣泛應用、主要IPA供應商的存在,以及成熟金融和IT產業對營運效率的高度重視。此外,全部區域對數位轉型的高額投資和成熟的基礎設施也為IPA解決方案的持續普及提供了沃土。
預計亞太地區在預測期內將實現最高的複合年成長率。這項加速成長主要得益於快速的數位化、製造業和服務業的擴張,以及中國、印度和日本等國家對人工智慧和雲端運算技術投資的不斷增加。此外,提高成本競爭力的需求,以及政府對工業自動化的支持性政策,也推動了全部區域大中小企業積極採用工業自動化解決方案。
According to Stratistics MRC, the Global Intelligent Process Automation Market is accounted for $19.6 billion in 2025 and is expected to reach $76.9 billion by 2032, growing at a CAGR of 21.5% during the forecast period. Intelligent Process Automation (IPA) combines artificial intelligence, machine learning, and robotic process automation to streamline and enhance business operations. It enables systems to handle repetitive tasks, make data-driven decisions, and continuously improve performance with minimal human input. By integrating cognitive technologies such as natural language processing and computer vision, IPA boosts efficiency, reduces errors, and helps organizations achieve smarter automation for faster, more accurate, and cost-effective workflows.
Rising demand for operational efficiency and cost reduction
The primary driver for Intelligent Process Automation (IPA) adoption is the relentless corporate pressure to streamline operations and reduce overhead. Organizations are leveraging IPA to automate complex, rule-based business processes, which minimizes manual intervention, slashes operational costs, and drastically reduces human error. This drive for efficiency not only improves bottom lines but also frees up human capital to focus on higher-value strategic tasks, thereby enhancing overall productivity and competitive agility in a fast-paced business environment.
Data security and privacy concerns
A significant barrier to IPA adoption is the apprehension surrounding data security and privacy. These platforms require access to sensitive corporate and customer data to function, creating substantial vulnerabilities to breaches and non-compliance with stringent regulations like GDPR. The fear of intellectual property theft, financial fraud, and reputational damage makes organizations, especially in highly regulated sectors, cautious. Consequently, ensuring robust data governance and security protocols within IPA solutions is a critical challenge that vendors must overcome to gain wider market trust.
Development of industry-specific solutions
Generic platforms often fail to address unique regulatory and workflow challenges in sectors like banking, healthcare, or manufacturing. By offering pre-configured solutions that comply with industry standards and tackle niche processes, vendors can unlock new revenue streams. This specialization allows for deeper market penetration and provides clients with faster implementation and a higher, more tangible return on investment, driving accelerated adoption.
Intense competition from new entrants
The market faces a notable threat from the influx of new entrants, including agile startups and specialized software firms. These players often introduce innovative, niche solutions at competitive prices, intensifying market rivalry and putting pressure on established vendors. Furthermore, this saturation can lead to price wars, potentially compressing profit margins for all participants. Incumbent players must continuously innovate and differentiate their offerings to maintain market share against these disruptive and cost-effective alternatives.
The COVID-19 pandemic acted as a significant accelerant for the IPA market. Lockdowns and remote work mandates exposed the vulnerabilities of manual, paper-based processes, forcing businesses to urgently seek digital automation solutions to ensure operational continuity. This crisis underscored the value of IPA in maintaining business resilience, leading to a surge in adoption across functions like finance, HR, and customer service to stabilize workflows and manage sudden demand fluctuations in a distributed work environment.
The solutions/platforms segment is expected to be the largest during the forecast period
The solutions/platforms segment is expected to account for the largest market share during the forecast period as it constitutes the core technological offering that enables automation. This includes the essential software, platforms, and tools that organizations directly deploy to automate processes. The high share is driven by continuous initial investments in foundational automation technology, coupled with the need for robust, scalable, and integrated platforms that can manage complex enterprise-wide workflows, making it the indispensable centerpiece of the IPA ecosystem.
The artificial intelligence (AI) & machine learning (ML) segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the artificial intelligence (AI) & machine learning (ML) segment is predicted to witness the highest growth rate as these technologies represent the evolution from simple rule-based automation to cognitive, self-improving systems. Their integration is crucial for handling unstructured data, making predictive decisions, and managing complex exceptions that traditional automation cannot. Furthermore, as businesses seek more intelligent and adaptive operations, the demand for AI/ML capabilities within IPA solutions is accelerating rapidly, fueling this segment's exceptional growth trajectory.
During the forecast period, the North America region is expected to hold the largest market share. This dominance is attributed to the early and widespread adoption of advanced technologies, the presence of major IPA vendors, and a strong emphasis on operational efficiency across well-established financial and IT sectors. Additionally, high levels of investment in digital transformation initiatives and a mature infrastructure provide a fertile ground for the sustained deployment of IPA solutions across the region.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. This accelerated growth is fueled by rapid digitalization, expanding manufacturing and service sectors, and increasing investments in AI and cloud technologies from countries like China, India, and Japan. Moreover, the growing need to improve cost competitiveness and the supportive government policies towards industrial automation are driving the aggressive adoption of IPA solutions among small, medium, and large enterprises throughout the region.
Key players in the market
Some of the key players in Intelligent Process Automation Market include UiPath Inc., Automation Anywhere, Inc., SS&C Blue Prism, IBM Corporation, Microsoft Corporation, SAP SE, Appian Corporation, Pegasystems Inc., ServiceNow, Inc., NICE Ltd., ABBYY LLC, Tungsten Automation, WorkFusion, Inc., Accenture plc, Deloitte Touche Tohmatsu Limited, Genpact Limited, Tata Consultancy Services Limited, Infosys Limited, Cognizant Technology Solutions Corporation, and Capgemini SE.
In November 2025, Automation Anywhere announced the acquisition of Aisera to strengthen its agentic automation and conversational AI offerings.
In October 2025, IBM unveiled new software and infrastructure capabilities to help enterprises operationalize AI, including agentic and infrastructure automation announcements.
In June 2025, Accenture launched its Distiller agentic AI framework (AI Refinery(TM)) to accelerate scalable, industry-grade agentic AI solutions.
In May 2025, ServiceNow launched AI Control Tower and introduced AI Agents/AI Platform innovations at Knowledge 2025 to govern and orchestrate enterprise AI agents and workflows.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.